How to Use the Hurma MCP in OpenAI Agents SDK

Q: Does the Hurma MCP Server support custom fields in OpenAI Agents SDK?

It does. Call listcustomproperties to see every non-standard field defined in your instance and handle them dynamically.

Connect Hurma to your OpenAI Agents SDK project to automate candidate tracking and leave requests with built-in execution guardrails.

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Connect Hurma MCP to OpenAI Agents SDK

Create your Vinkius account to connect Hurma to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Hurma with OpenAI Agents SDK

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Automate recruitment with OpenAI Agents SDK

Stop manually syncing candidate profiles. Your agents use `create_candidate` to push new applicants directly into your database the moment they appear in your inbox. Use `list_vacancy_stages` to keep your pipeline moving. The agent reads the current status and updates records without you lifting a finger.

Manage time off via Hurma MCP Server

Query `get_vacation_balance` to verify remaining days before approving any request. This ensures your agent never commits to leave that exceeds the employee's limit. Trigger `create_leave_request` once the policy check clears. Your agent handles the paperwork while you focus on team strategy.

Audit employee records with OpenAI Agents SDK

Fetch precise details with `get_employee_details` for any staff member. The agent pulls the exact data required for your reporting tasks. Run `list_employees` to maintain an accurate directory. This keeps your internal agent memory synced with the actual company roster.

Setup guide

Set up Hurma MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Hurma tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Hurma tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Hurma tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Hurma Agent",
            instructions="You have access to Hurma tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Hurma MCP in OpenAI Agents SDK

Yes, you can. Just point your agent at the Hurma endpoint, and the SDK will auto-discover the tools for immediate use.

It does. Call `list_custom_properties` to see every non-standard field defined in your instance and handle them dynamically.

Vinkius handles the handshake for you. You just provide the endpoint token, and your agent gets secure access to the API.

Your candidate and employee data stays isolated. We use a zero-trust sandbox to ensure only your authorized agents touch the records.

The server rejects the request immediately. You get a clear error message, preventing any accidental updates to your records.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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